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Mastering Machine Learning with R, Second Edition - Second Edition

You're reading from Mastering Machine Learning with R, Second Edition - Second Edition

Product type Book

Published in Apr 2017

Publisher Packt

ISBN-13 9781787287471

Pages 420 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Table of Contents (23) Chapters

Title Page

Credits

About the Author

About the Reviewers

Packt Upsell

Customer Feedback

Preface

1. A Process for Success

2. Linear Regression - The Blocking and Tackling of Machine Learning

3. Logistic Regression and Discriminant Analysis

4. Advanced Feature Selection in Linear Models

5. More Classification Techniques - K-Nearest Neighbors and Support Vector Machines

6. Classification and Regression Trees

7. Neural Networks and Deep Learning

8. Cluster Analysis

9. Principal Components Analysis

10. Market Basket Analysis, Recommendation Engines, and Sequential Analysis

11. Creating Ensembles and Multiclass Classification

12. Time Series and Causality

13. Text Mining

14. R on the Cloud

15. R Fundamentals

16. Sources

Installing and loading R packages

We discussed earlier how to install an R package using the install() function. To use an installed package, you also need to load it to be able to use it. Let's go through this again, first with the installation in RStudio and then loading the package. Look for and click the Packages tab. You should see something similar to this:

Now, let's install the R package, xgboost. Click on the Install icon and type the package name in the Packages section of the popup:

Click the Install button. Once the package has been fully installed, the command prompt will return. To load the package in order to be able to use it, only the library() function is required:

> library(xgboost)

With this, you are now able to use the functions built into the package.

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